Mapping heartwater risk in Guadeloupe using a combination of spatial modelling approaches

Heartwater is a tick-borne disease affecting livestock in Africa and the Caribbean, including Guadeloupe, where it threatens animal health and productivity. While Amblyomma variegatum has long been recognized as the primary vector, recent studies suggest Rhipicephalus microplus may also transmit Ehrlichia ruminantium, the causative agent. This study presents a spatial modelling framework to assess heartwater risk across Guadeloupe. Tick presence data collected during livestock inspections were combined with environmental variables derived from satellite imagery and other geospatial sources. Ecological Niche Factor Analysis identified key environmental predictors, which were then used to build MaxEnt models and generate suitability maps for both tick species. These maps revealed distinct ecological preferences and were integrated with cattle density data using a Multi-Criteria Decision Analysis approach, with expert-derived weighting, to produce a composite risk index. The resulting maps provide the first spatially explicit assessment of heartwater risk in Guadeloupe. This approach offers a reproducible method for mapping tick-borne disease risk in data-limited tropical regions and can guide targeted surveillance and control strategies.

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Publication Details

Journal
Scientific Reports
Published
2025-12-01
DOI
https://doi.org/10.1038/s41598-025-30181-4
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping heartwater risk in Guadeloupe using a combination of spatial modelling approaches

Éric Etter, Laure Guerrini, Victor Dufleit
Scientific Reports
Vector-borne infectious diseases
article

Mapping heartwater risk in Guadeloupe using a combination of spatial modelling approaches

Éric Etter, Laure Guerrini, Victor Dufleit
article en

Abstract

Heartwater is a tick-borne disease affecting livestock in Africa and the Caribbean, including Guadeloupe, where it threatens animal health and productivity. While Amblyomma variegatum has long been recognized as the primary vector, recent studies suggest Rhipicephalus microplus may also transmit Ehrlichia ruminantium, the causative agent. This study presents a spatial modelling framework to assess heartwater risk across Guadeloupe. Tick presence data collected during livestock inspections were combined with environmental variables derived from satellite imagery and other geospatial sources. Ecological Niche Factor Analysis identified key environmental predictors, which were then used to build MaxEnt models and generate suitability maps for both tick species. These maps revealed distinct ecological preferences and were integrated with cattle density data using a Multi-Criteria Decision Analysis approach, with expert-derived weighting, to produce a composite risk index. The resulting maps provide the first spatially explicit assessment of heartwater risk in Guadeloupe. This approach offers a reproducible method for mapping tick-borne disease risk in data-limited tropical regions and can guide targeted surveillance and control strategies.

Scientific ReportsVol. 16(1)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR), Université de Montpellier (FR), Animal, Santé, Territoires, Risques et Ecosystèmes (FR), Institut Pasteur de la Guadeloupe (GP), Université des Antilles (GP)
U.S. Department of Agriculture, European Agricultural Fund for Rural Development
Openalex Percentile: Top 60%
Vector-borne infectious diseases
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Mapping heartwater risk in Guadeloupe using a combination of spatial modelling approaches — Éric Etter, Laure Guerrini, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS